Name
Title | ||
|---|---|---|
A joint text mining-rank size investigation of the rhetoric structures of the US Presidents' speeches. |
Abstract | ||
|---|---|---|
•We use a text mining procedure for the analysis of political speeches.•We employ a rank-size analysis to explore the rethoric structure of the speeches.•We investigate a large set of US Presidents talks, from Washington to Trump.•We rank the tokens on the basis of relative and absolute words frequencies.•Talks regularities are found and discussed under a political-linguistic viewpoint. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.12.049 | Expert Systems with Applications |
Keywords | Field | DocType |
Text mining,Natural Language Processing,Politics,Rank-size laws | Web scraping,Ranking,Computer science,Expert system,Rhetoric,Natural language,Artificial intelligence,Miller,Politics,Linguistics,Machine learning,Generality | Journal |
Volume | ISSN | Citations |
123 | 0957-4174 | 2 |
PageRank | References | Authors |
0.66 | 22 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valerio Ficcadenti | 1 | 2 | 1.67 |
| Roy Cerqueti | 2 | 41 | 15.85 |
| M. Ausloos | 3 | 9 | 3.06 |